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- W1559926829 abstract "Lipreading has become a hot research topic in recent years since the visual information extracted from the lip movement has been shown to improve the performance of automatic speech recognition (ASR) system especially under noisy environments [1]-[3], [5]. There are two important issues related to lipreading: 1) how to extract the most efficient features from lip image sequences, 2) how to build lipreading models. This paper mainly focuses on how to choose more efficient features for lipreading.KeywordsLinear Discriminant AnalysisDiscrete Cosine TransformDiscrete Fourier TransformLocal Binary PatternAutomatic Speech RecognitionThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves." @default.
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- W1559926829 date "2007-09-01" @default.
- W1559926829 modified "2023-09-25" @default.
- W1559926829 title "Combining Global and Local Classifiers for Lipreading" @default.
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- W1559926829 doi "https://doi.org/10.1007/978-3-540-74889-2_73" @default.
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